دانلود رایگان مقاله انگلیسی برنامه های متابولومویک برای مطالعه متابولیسم سرطان - الزویر 2018

عنوان فارسی
برنامه های متابولومویک برای مطالعه متابولیسم سرطان
عنوان انگلیسی
Applications of metabolomics to study cancer metabolism
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
48
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع نگارش
مقالات مروری
رفرنس
دارد
کد محصول
E9683
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.bbcan.2018.04.009
دانشگاه
Children's Medical Center Research Institute - University of Texas Southwestern Medical Center - United States
رشته های مرتبط با این مقاله
زیست شناسی، پزشکی
کلمات کلیدی
متابولومیکس؛ متابولیسم سرطان؛ زیرگونه های متابولیکی؛ زیست شناسی سیستم ها؛ ایزوتوپ ردیاب؛ تصویربرداری متابولیت
گرایش های مرتبط با این مقاله
علوم سلولی و مولکولی، خون و آنکولوژی
مجله
بیوشیمی و بیوفیزیک Acta - بررسی سرطان - Biochimica et Biophysica Acta (BBA) - Reviews on Cancer
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract

 

Reprogrammed metabolism supports tumor growth and provides a potential source of therapeutic targets and disease biomarkers. Mass spectrometry-based metabolomics has emerged as a broadly informative technique for profiling metabolic features associated with specific oncogenotypes, disease progression, therapeutic liabilities and other clinically relevant aspects of tumor biology. In this review, we introduce the applications of metabolomics to study deregulated metabolism and metabolic vulnerabilities in cancer. We provide examples of studies that used metabolomics to discover novel metabolic regulatory mechanisms, including processes that link metabolic alterations with gene expression, protein function, and other aspects of systems biology. Finally, we discuss emerging applications of metabolomics for in vivo isotope tracing and metabolite imaging, both of which hold promise to advance our understanding of the role of metabolic reprogramming in cancer.

بخشی از متن مقاله

Future Perspective

 

Recent years have seen the expanded use of metabolomics to study cancer. These studies have been propelled by rapid improvements both in our understanding of the molecular basis of metabolic reprogramming, and in the analytical systems with which cancer metabolism can be studied. The availability of isotope labeling methods, metabolite imaging, and tools to integrate metabolic data with genomics, transcriptomics, and proteomics have the potential to accelerate research in cancer metabolism even further, particularly in the context of intact tumors in mice and humans. We anticipate further advancements in global metabolite profiling, hopefully with an increasing emphasis on methodological consistency to facilitate durable data sharing and reproducibility across centers.


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